Directional Navigation Improves Opportunistic Communication for Emergencies
File(s)
Author(s)
Kokuti, A
Gelenbe, E
Type
Journal Article
Abstract
We present a novel direction based shortest path search algorithm to guide
evacuees during an emergency. It uses opportunistic communications (oppcomms) with
low-cost wearable mobile nodes that can exchange packets at close range of a few to some
tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits
which are safest with regard to a hazard, and is integrated into an autonomous Emergency
Support System (ESS) to guide evacuees in a built environment. The algorithm proposed
that ESSs are evaluated with the DBES (Distributed Building Evacuation Simulator) by
simulating a shopping centre where fire is spreading. The results show that the directional
path finding algorithm can offer significant improvements for the evacuees.
evacuees during an emergency. It uses opportunistic communications (oppcomms) with
low-cost wearable mobile nodes that can exchange packets at close range of a few to some
tens of meters without help of an infrastructure. The algorithm seeks the shortest path to exits
which are safest with regard to a hazard, and is integrated into an autonomous Emergency
Support System (ESS) to guide evacuees in a built environment. The algorithm proposed
that ESSs are evaluated with the DBES (Distributed Building Evacuation Simulator) by
simulating a shopping centre where fire is spreading. The results show that the directional
path finding algorithm can offer significant improvements for the evacuees.
Date Issued
2014-08-20
Date Acceptance
2014-08-14
Citation
Sensors, 2014, 14 (8), pp.15387-15399
ISSN
1424-8220
Publisher
MDPI
Start Page
15387
End Page
15399
Journal / Book Title
Sensors
Volume
14
Issue
8
Copyright Statement
c 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution license
(http://creativecommons.org/licenses/by/3.0/).
distributed under the terms and conditions of the Creative Commons Attribution license
(http://creativecommons.org/licenses/by/3.0/).
License URL
Subjects
Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Electrochemistry
Instruments & Instrumentation
Chemistry
emergency navigation
opportunistic communications
building evacuation
self organization
AUTONOMOUS SEARCH
SENSOR NETWORKS
EVACUATION
Publication Status
Published